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bert-leg-al-corpus

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End of training

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  1. README.md +24 -14
  2. model.safetensors +1 -1
  3. runs/Apr12_07-47-12_7d39e367c383/events.out.tfevents.1712908040.7d39e367c383.2440.2 +2 -2
  4. runs/Apr12_07-47-12_7d39e367c383/events.out.tfevents.1712911006.7d39e367c383.2440.3 +3 -0
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: mit
 
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  tags:
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  - generated_from_trainer
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- base_model: desarrolloasesoreslocales/bert-leg-al-corpus
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  model-index:
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  - name: bert-leg-al-corpus
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  results: []
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [desarrolloasesoreslocales/bert-leg-al-corpus](https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-corpus) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4998
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  ## Model description
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@@ -35,27 +35,37 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 36
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 54 | 1.5026 |
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- | No log | 2.0 | 108 | 1.5195 |
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- | No log | 3.0 | 162 | 1.5277 |
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- | No log | 4.0 | 216 | 1.5178 |
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- | No log | 5.0 | 270 | 1.4960 |
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- | No log | 6.0 | 324 | 1.4699 |
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- | No log | 7.0 | 378 | 1.5248 |
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- | No log | 8.0 | 432 | 1.5095 |
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- | No log | 9.0 | 486 | 1.4827 |
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- | 1.5432 | 10.0 | 540 | 1.4607 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: desarrolloasesoreslocales/bert-leg-al-corpus
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  tags:
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  - generated_from_trainer
 
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  model-index:
7
  - name: bert-leg-al-corpus
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  results: []
 
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  This model is a fine-tuned version of [desarrolloasesoreslocales/bert-leg-al-corpus](https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-corpus) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4067
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 120 | 1.4773 |
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+ | No log | 2.0 | 240 | 1.4598 |
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+ | No log | 3.0 | 360 | 1.4620 |
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+ | No log | 4.0 | 480 | 1.4332 |
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+ | 1.3749 | 5.0 | 600 | 1.4415 |
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+ | 1.3749 | 6.0 | 720 | 1.4439 |
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+ | 1.3749 | 7.0 | 840 | 1.4384 |
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+ | 1.3749 | 8.0 | 960 | 1.4056 |
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+ | 1.4245 | 9.0 | 1080 | 1.4504 |
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+ | 1.4245 | 10.0 | 1200 | 1.3799 |
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+ | 1.4245 | 11.0 | 1320 | 1.4202 |
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+ | 1.4245 | 12.0 | 1440 | 1.4374 |
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+ | 1.4527 | 13.0 | 1560 | 1.4145 |
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+ | 1.4527 | 14.0 | 1680 | 1.4299 |
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+ | 1.4527 | 15.0 | 1800 | 1.3918 |
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+ | 1.4527 | 16.0 | 1920 | 1.4007 |
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+ | 1.447 | 17.0 | 2040 | 1.4476 |
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+ | 1.447 | 18.0 | 2160 | 1.3933 |
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+ | 1.447 | 19.0 | 2280 | 1.4311 |
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+ | 1.447 | 20.0 | 2400 | 1.3902 |
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  ### Framework versions
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